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Paper Abstract and Keywords
Presentation 2026-03-18 09:20
An Adjustment Method of Learning Rate Schedulers in Layer-wise Growing and Pruning
Kentaro Toki, Tomoyuki Sasaki, Hidehiro Nakano (TCU) CCS2025-78
Abstract (in Japanese) (See Japanese page) 
(in English) Layer-wise growing and pruning of deep neural networks have attracted attention as methods for flexibly adjusting model size. However, when growing or pruning is performed at the layer level, retraining requires updating a large number of parameters, which necessitates the use of a relatively large learning rate. Consequently, when a learning rate scheduler reduces the learning rate during training, the model performance may degrade during the retraining phase. In this study, we investigate a method to mitigate performance degradation caused by the learning rate scheduler by dynamically adjusting the learning rate and weight decay for each layer.
Keyword (in Japanese) (See Japanese page) 
(in English) Deep Learning / Growing / Pruning / ResNet / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 416, CCS2025-78, pp. 138-141, March 2026.
Paper # CCS2025-78 
Date of Issue 2026-03-10 (CCS) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF CCS2025-78

Conference Information
Committee CCS  
Conference Date 2026-03-17 - 2026-03-18 
Place (in Japanese) (See Japanese page) 
Place (in English) RUSUTSU RESORT 
Topics (in Japanese) (See Japanese page) 
Topics (in English) CCS, etc. 
Paper Information
Registration To CCS 
Conference Code 2026-03-CCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Adjustment Method of Learning Rate Schedulers in Layer-wise Growing and Pruning 
Sub Title (in English)  
Keyword(1) Deep Learning  
Keyword(2) Growing  
Keyword(3) Pruning  
Keyword(4) ResNet  
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Keyword(6)  
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1st Author's Name Kentaro Toki  
1st Author's Affiliation Tokyo City University (TCU)
2nd Author's Name Tomoyuki Sasaki  
2nd Author's Affiliation Tokyo City University (TCU)
3rd Author's Name Hidehiro Nakano  
3rd Author's Affiliation Tokyo City University (TCU)
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Speaker Author-1 
Date Time 2026-03-18 09:20:00 
Presentation Time 20 minutes 
Registration for CCS 
Paper # CCS2025-78 
Volume (vol) vol.125 
Number (no) no.416 
Page pp.138-141 
#Pages 4 
Date of Issue 2026-03-10 (CCS) 

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